We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correl...
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We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correlation in moderate time scales while being analytically tractable. Important statistics of traffic burstiness are described and a customized moment-based fitting procedure of MMPP to traffic traces is presented. Our methodology of doing this is to examine whether the MMPP can be used to predict the performance of a queue to which MMPP sample paths and measured traffic traces are fed for comparison respectively, in addition to the goodness-of-fit test of MMPP. Numerical results and simulations show that the fitted MMPP can approximate multifractal traffic quite well, i.e. accurately predict the queueing performance.
在移动IP和RSVP相互集成的方案中,为减少RSVP路径切换延迟,降低端端路径代价,公共路由器的选择是一个关键.提出了一个适应的公共路由器选择算法(adaptive common router selectionalgorithm,ACRS),在满足应用连接QoS(quality of service...
详细信息
在移动IP和RSVP相互集成的方案中,为减少RSVP路径切换延迟,降低端端路径代价,公共路由器的选择是一个关键.提出了一个适应的公共路由器选择算法(adaptive common router selectionalgorithm,ACRS),在满足应用连接QoS(quality of service)需求的前提下,利用控制参数λ在RSVP路径切换延迟和端端路径代价之间取得平衡.通过与其他相关RSVP路径切换方案的性能比较,结果表明ACRS可以支持适应的、快速的RSVP路径切换.
加密视频识别是网络安全和网络管理领域亟待解决的问题,已有的方法是将视频的加密传输指纹与视频指纹库中的视频指纹进行匹配,从而识别出加密传输的视频.现有工作主要集中在匹配识别算法的研究上,但是没有专门针对待匹配数据源的研究,也缺少在大型视频指纹库里对这些算法的查准率和假阳率指标的分析,由此造成现有成果的实用性不能保证.针对这一问题,首先分析使用安全传输层协议加密的应用数据单元(application data unit,简称ADU)密文长度相对明文长度发生漂移的原因,首次将HTTP头部特征和TLS片段特征作为ADU长度复原的拟合特征,提出了一种对加密ADU指纹精准复原方法HHTF,并将其应用于加密视频识别.基于真实Facebook视频模拟构建了20万级的大型指纹库.从理论上推导并计算出:只需已有方法十分之一的ADU数目,在该指纹库中视频识别准确率、查准率、查全率达到100%,假阳率达到0.在模拟大型视频指纹库中的实验结果与理论推导结果一致.HHTF方法的应用,使得在大规模视频指纹库场景中识别加密传输的视频成为可能,具有很强的实用性和应用价值.
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